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Meta-analysis of haplotype association studies

We present multivariate methods that use summary-based data as
well as methods that use binary and count data in a generalized linear
mixed model framework (logistic regression, multinomial regression and
Poisson regression). The methods presented here avoid the inflation of
the type I error rate that could be the result of the traditional
approach of comparing a haplotype against the remaining ones, whereas,
they can be fitted using standard software. Moreover, formal global
tests are presented for assessing the statistical significance of the
overall association. Although the methods presented here assume that the
haplotypes are directly observed, they can be easily extended to allow
for such an uncertainty by weighting the haplotypes by their
probability.